Cat Modeling Analyst

The Cat Modeling Analyst at PartnerRe is primarily responsible for delivering high-quality catastrophe risk modeling analytics to stakeholders like Underwriting and Actuarial teams. Key tasks include running cat models, conducting exposure data analyses, communicating results effectively, and investigating changes in loss risk over time. Additionally, you'll assist with quarterly portfolio modeling and regulatory tasks like Solvency II reporting.

To become a Cat Modeling Analyst at PartnerRe, candidates should possess a master’s degree in natural sciences or a related quantitative field. Solid programming skills in R or Python are essential, particularly knowledge of relational databases like MSSQL. Excellent communication skills, the ability to prioritize tasks, and a problem-solving mindset are also important.

PartnerRe fosters a supportive environment where Cat Modeling Analysts can thrive. The company offers exposure to diverse business sectors, encourages continuous learning, and promotes collaboration across offices. You'll connect with a community of experts and have the opportunity to contribute to significant Cat research, all while being supported in your professional development.

Cat Modeling Analysts at PartnerRe primarily use R and Python for programming tasks and modeling. Familiarity with relational databases, particularly MSSQL, is beneficial. Additionally, you may work with proprietary cat modeling software for analyses and reporting, as well as internal tools for maintaining and improving modeling efficiency.

While having 1-3 years of working experience is a plus for the Cat Modeling Analyst position at PartnerRe, it is not a strict requirement. The company values proactive individuals who are eager to learn and develop their skills in a collaborative environment.

In responding to this question, demonstrate your knowledge of how catastrophe risk modeling quantifies the potential impacts of natural disasters on insurance portfolios. Discuss various models used, the importance of exposure data analysis, and how these insights aid risk transfer decisions.

Share your process for prioritizing tasks by discussing tools or methods you use, such as creating task lists or utilizing project management software. Emphasize the importance of communication and collaboration with team members when deadlines are approaching.

Select a relevant example that showcases your problem-solving skills. Discuss the issue, how you approached it, the data and tools you utilized, and the outcome. Highlight any lessons learned and how it improved your analytical capabilities.

Be clear about your experience with programming languages like R or Python, and give examples of how you have applied them in data analysis or modeling contexts. Mention any relevant software or database tools, particularly if you have experience with MSSQL.

In your answer, highlight the importance of using simple language and analogies to explain technical concepts. Discuss your experience in creating presentations or reports tailored for non-technical stakeholders, ensuring clarity and understanding.

Share your passion for analytical problem-solving and how it aligns with contributing to business insights that can make a significant difference. Discuss any personal experiences or observations that drove your interest in the field.

Demonstrate your commitment to professional development by discussing relevant journals, webinars, and training opportunities you engage with. Mention any professional associations or networks you are part of for knowledge sharing.

Provide a scenario detailing your experience in teamwork, focusing on communication and shared goals. Discuss how you contributed to team dynamics and the final outcomes achieved as a group.

Discuss your methodology for conducting exposure data analysis, including data collection, cleaning, analysis techniques, and how you derive insights. Highlight the significance of accurate data in supporting risk modeling.

In your response, link your professional aspirations with PartnerRe’s mission and values. Speak about your interest in catastrophe risk modeling and how you see yourself contributing to a company known for its commitment to rebuilding after risk events.